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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible
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codebases Workplace Workplace We offer Environment and resources: We promise an inspiring, collaborative research environment to support your immersion into an ambitious research agenda. Our team consists
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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at an early stage to discuss aspects of the scientific connection as well as the available resources (premises, infrastructure, etc.). You can register on AVA with your UZH login (short name and password
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Resource-Constrained Machine Learning 100%, Zurich, fixed-term 10.02.2025 | Distributed Computing Group Offene Stellen ETH-Bereich EPF Lausanne Paul Scherrer Institut EMPA